Triple
T34863807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aria da Capo |
E1004953
|
entity |
| Predicate | antiWarWork |
P29270
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Aria da Capo, antiWarWork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antiWarWork Context triple: [Aria da Capo, antiWarWork, true]
-
A.
opposedWar
chosen
Indicates that an entity actively resisted, disagreed with, or worked against a particular war or military conflict.
-
B.
antiImperialism
Indicates opposition to imperialist domination, control, or expansion by one state or power over others.
-
C.
opposedWarfareType
Indicates that one entity is in opposition to, or acts against, the type or form of warfare represented by the other entity.
-
D.
reactionToWar
Indicates how an entity responds emotionally, behaviorally, or attitudinally to a war or armed conflict.
-
E.
stanceOnMilitarism
Indicates an entity’s position, attitude, or viewpoint regarding the use, expansion, or role of military force and institutions.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.